Results 11 to 20 of about 16,443 (262)
Constrained Spline Smoothing [PDF]
SIAM Journal on Numerical Analysis, 2008 Several results on constrained spline smoothing are obtained. In particular, we establish a general result, showing how one can constructively smooth any monotone or convex piecewise polynomial function (ppf) (or any $q$-monotone ppf, $q\geq 3$, with one additional degree of smoothness) to be of minimal defect while keeping it close to the original ...
Kirill A. Kopotun +2 more
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Five-Axis Tool Path Smoothing based on Cubic B-Spline Curves [PDF]
한국정밀공학회지, 2020 In CNC machining, NC data created by CAM software is usually linearly interpolated. This linearly interpolated tool path, however, may degrade the dynamic motion performance of the machine tool and the geometric accuracy in comparison with the reference ...
Keewoong Ahn, Sungchul Jee
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Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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A multiobjective path-smoothing algorithm based on node adjustment and turn-smoothing
Measurement + Control, 2023 Presently, mobile robots experience problems of time consumption, poor security, and high computational complexity in global path-smoothing algorithms.
Ning Cao +3 more
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Point Set Denoising Using Bootstrap-Based Radial Basis Function. [PDF]
PLoS ONE, 2016 This paper examines the application of a bootstrap test error estimation of radial basis functions, specifically thin-plate spline fitting, in surface smoothing.
Khang Jie Liew +2 more
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Applied Mathematics Letters, 2000 The authors define a smoothing variational spline function by minimizing a quadratic functional in a Sobolev space and prove the convergence of the constructed splines.
Abdelouahed Kouibia, Miguel Pasadas
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Principle of Duality in Cubic Smoothing Spline
Mathematics, 2020 Fitting a cubic smoothing spline is a typical smoothing method. This paper reveals a principle of duality in the penalized least squares regressions relating to the method.
Ruixue Du, Hiroshi Yamada
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Combination Estimation of Smoothing Spline and Fourier Series in Nonparametric Regression
Journal of Mathematics, 2020 So far, most of the researchers developed one type of estimator in nonparametric regression. But in reality, in daily life, data with mixed patterns were often encountered, especially data patterns which partly changed at certain subintervals, and some ...
Ni Putu Ayu Mirah Mariati +2 more
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IET Radar, Sonar & Navigation, 2022 Smoothing process can effectively improve the accuracy of the Global Navigation Satellite System (GNSS) position estimation algorithm. In this study, a Doppler‐aided GNSS position estimation algorithm with a B‐spline smoothing strategy is proposed.
Jieyi Sun, Yongqing Wang, Yuyao Shen
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A Spline Smoothing Newton Method for Semi-Infinite Minimax Problems
Journal of Applied Mathematics, 2014 Based on discretization methods for solving semi-infinite programming problems, this paper presents a spline smoothing Newton method for semi-infinite minimax problems. The spline smoothing technique uses a smooth cubic spline instead of max function and
Li Dong, Bo Yu, Yu Xiao
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